A.I.’s First Big Math Breakthrough Is Not What It Seems

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...
IEEE

A Domain Constraint Strategy Based on K-Means Algorithm for Solving Highly Nonlinear Inverse Scattering Problem

Abstract: This paper proposes a domain constraint strategy based on the $\mathbf{k}$-means algorithm and combines it with the currentbased learning method for the inversion of highly nonlinear targets ...
IEEE

Kmeans-CM Algorithm With Spectral Angle Mapper for Hyperspectral Image Classification

Abstract: Hyperspectral images possess the characteristics of high dimensionality, which causes “dimensional disaster” and low classification accuracy. In order to solve the problems, based on ...
GitHub

k-means clustering algorithm implementation written in Go

k-means clustering partitions a multi-dimensional data set into k clusters, where each data point belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
PNAS

Efficient quantum algorithm for dissipative nonlinear differential equations

Nonlinear differential equations appear in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear differential equations have complexity ...
InfoWorld

What is machine learning? Intelligence derived from data

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following explicit ...
GitHub

Data Structure and Algorithms Problems

Note: Some of the code here is old and was written when I was learning C++. It might be possible that code is not safe or making wrong assumptions. Please use with caution. Pull requests are always ...